Application Areas of AIS: The Past, The Present and The Future

Hart, Emma; Timmis, Jon

doi:10.1007/11536444_37

Cited by 98 publications

(94 citation statements)

References 24 publications

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“…According to a review of the literature [10], [11], the parameters of the AIS-ICA are set as: h=6; Ab=10; the highest affinity antibodies n=5; mutated clones C=5; the maximum iteration number s_t=50.…”

Section: (T)= ((Rand())*2-1)*log(rand())mentioning

confidence: 99%

“…AIS is an adaptive systems, inspired by theoretical immunology and observed immune functions, principles and models, which are applied to problem solving [10], [11]. They are one among many types of algorithm inspired by biological systems, including evolutionary algorithms, swarm intelligence, neural networks and membrane computing.…”

Section: Introductionmentioning

confidence: 99%

“…There are various applications of AIS, and they include data analysis, scheduling, classification, fault detection and security of information systems [10]- [13]. Since AIS has many advantages over other heuristic techniques such as it can be easily implemented and has great capability of escaping local optimal solutions [11], it is used in this study to develop the AIS-ICA algorithm.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Independent Component Analysis Algorithm Based on Artificial Immune System

Chen¹,

Lu²

2013

IJMLC

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Abstract-Traditional independent component analysis (ICA) method based on FastICA algorithm faced two main disadvantages. One is that the order of the independent components (ICs) is difficult to be determined and the other is that the FastICA algorithm often leads to local minimum solution, and the suitable source signals are not isolated. To alleviate these problems, an improved ICA algorithm based on artificial immune system (AIS) (called AIS-ICA) is presented. AIS is an attractive heuristic technique and has many advantages over other heuristic techniques such as it can be easily implemented and has great capability of escaping local optimal solutions The basic idea of the proposed AIS-ICA algorithm is to use AIS to determine the separating matrix of ICA. Simulation results from the artificial signal data illustrate the efficiency of the proposed AIS-ICA approach.Index Terms-Independent component analysis, artificial immune system, signal separation, heuristic algorithm.

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Section: (T)= ((Rand())*2-1)*log(rand())mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Improved Independent Component Analysis Algorithm Based on Artificial Immune System

Chen¹,

Lu²

2013

IJMLC

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“…It has been introduced to the synthesis of infinite planar FSS structure [5] and design of planar FSS-equipped radome [6]. Clone selection algorithm is one of the many branches of the artificial immune system algorithms that has recently drawn considerable attention in a wide range of applications [7]. It has been shown that the clone selection algorithm is very effective on multimodal problems due to its inherent properties [8].…”

Section: Introductionmentioning

confidence: 99%

Efficient Multi-Objective Optimization of Frequency Selective Radome With Nonuniform Wall Thickness

Ma¹,

Wan²

2014

PIER M

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Abstract-An efficient optimization technique for frequency selective surface (FSS) radome with nonuniform wall thickness is proposed to improve the power transmission efficiency and the boresight error (BSE) of FSS radome simultaneously. The high-frequency method based on the approximate locally planar technique is used to evaluate the transmission performance of FSS radome. An efficient multi-dimensional adaptive sampling method combined with spectral domain method of moment (MoM) is employed to analyze transmission performance of FSS structure. The immune clone algorithm (ICA) is applied to the design of a FSS radome, in which the linear combination of the maximizing power transmission efficiency and the minimizing BSE is adopted as the affinity function, and the radome wall thickness is optimized. A design example for the three-dimensional tangent ogive radome with nonuniform thickness is given. The results show that the power transmission efficiency is improved significantly and the BSE of the optimal antenna-radome system is also reduced over the antenna scan volume.

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“…AISs based on these algorithms have been applied to many benchmark and a number of realworld problems. Currently however, the field is at an impasse [1,2]. While there have been some success stories on realworld problems, there is still little to differentiate the performance of AISs with other state-of-the-art methods.…”

Section: Introductionmentioning

confidence: 99%

Biological Inspiration for Artificial Immune Systems

Twycross

Aickelin

2007

Lecture Notes in Computer Science

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Abstract. Artificial immune systems (AISs) to date have generally been inspired by naive biological metaphors. This has limited the effectiveness of these systems. In this position paper two ways in which AISs could be made more biologically realistic are discussed. We propose that AISs should draw their inspiration from organisms which possess only innate immune systems, and that AISs should employ systemic models of the immune system to structure their overall design. An outline of plant and invertebrate immune systems is presented, and a number of contemporary systemic models are reviewed. The implications for interdisciplinary research that more biologically-realistic AISs could have is also discussed.

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Application Areas of AIS: The Past, The Present and The Future

Cited by 98 publications

References 24 publications

An Improved Independent Component Analysis Algorithm Based on Artificial Immune System

An Improved Independent Component Analysis Algorithm Based on Artificial Immune System

Efficient Multi-Objective Optimization of Frequency Selective Radome With Nonuniform Wall Thickness

Biological Inspiration for Artificial Immune Systems

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